Llama 4 Scout 17B vs Together AI Qwen2-7B-Instruct
Llama 4 Scout 17B (2025) and Together AI Qwen2-7B-Instruct (2024) are compact production models from AI at Meta and Alibaba. Llama 4 Scout 17B ships a 10M-token context window, while Together AI Qwen2-7B-Instruct ships a 33K-token context window. On pricing, Together AI Qwen2-7B-Instruct costs $0.15/1M input tokens versus $0.17/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Scout 17B fits 305x more tokens; pick it for long-context work and Together AI Qwen2-7B-Instruct for tighter calls.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2024-06-07 |
| Context window | 10M | 33K |
| Parameters | 17 | 7B |
| Architecture | - | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 4 Scout 17B | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Input price | $0.17/1M tokens | $0.15/1M tokens |
| Output price | $0.66/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Scout 17B | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: Llama 4 Scout 17B. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Llama 4 Scout 17B lists $0.17/1M input and $0.66/1M output tokens, while Together AI Qwen2-7B-Instruct lists $0.15/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Qwen2-7B-Instruct lower by about $0.17 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Llama 4 Scout 17B when long-context analysis and larger context windows are central to the workload. Choose Together AI Qwen2-7B-Instruct when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Llama 4 Scout 17B or Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B supports 10M tokens, while Together AI Qwen2-7B-Instruct supports 33K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 4 Scout 17B or Together AI Qwen2-7B-Instruct?
Together AI Qwen2-7B-Instruct is cheaper on tracked token pricing. Llama 4 Scout 17B costs $0.17/1M input and $0.66/1M output tokens. Together AI Qwen2-7B-Instruct costs $0.15/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 4 Scout 17B or Together AI Qwen2-7B-Instruct open source?
Llama 4 Scout 17B is listed under Open Source. Together AI Qwen2-7B-Instruct is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for multimodal input, Llama 4 Scout 17B or Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Llama 4 Scout 17B or Together AI Qwen2-7B-Instruct?
Both Llama 4 Scout 17B and Together AI Qwen2-7B-Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Llama 4 Scout 17B and Together AI Qwen2-7B-Instruct?
Llama 4 Scout 17B is available on AWS Bedrock. Together AI Qwen2-7B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.